Machine Learning Engineer

Introduction

We are hiring a Machine Learning Engineer to develop, deploy, and maintain machine learning solutions. This role combines software engineering, data science, and cloud technologies to build reliable machine learning applications and production-ready models.

Responsibilities

• Develop and implement machine learning models using Python.
• Prepare and transform datasets for model development.
• Train, evaluate, and optimize machine learning models.
• Build scalable ML pipelines and model-serving solutions.
• Integrate machine learning models into applications and APIs.
• Work with data scientists, software engineers, and product teams.
• Monitor model performance and troubleshoot production issues.
• Maintain documentation for models, pipelines, and deployments.
• Follow software engineering and version-control best practices.

Requirements

• 2-5 years of experience in machine learning or software engineering.
• Strong Python programming skills.
• Experience with Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
• Strong understanding of machine learning algorithms.
• Experience with SQL and data manipulation.
• Experience with REST APIs and software development practices.
• Familiarity with Git.

Preferred Skills

• AWS, Azure, or Google Cloud Platform.
• Docker and Kubernetes.
• MLflow or similar ML lifecycle tools.
• NLP or Generative AI.
• Model deployment and monitoring.
• MLOps practices.
• Experience with large-scale data processing.